The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-25"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "16046986 (up from 15792390 yesterday: 1.61 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "644528 (up from 639652 yesterday: 0.76 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4779677

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.02



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4178021 65490 1.59 1338585 146460 914 0.63 3.51
Brazil 2394513 51147 2.18 817509 86449 1211 1.42 3.61
India 1385635 48611 3.64 712470 32060 702 2.24 2.31
Russia 805332 5833 0.73 131768 13172 146 1.12 1.64
South Africa 434200 12204 2.89 246223 6655 312 4.92 1.53
Mexico 385036 6751 1.78 132871 42645 0 0.00 11.08
Peru 375961 0 0.00 76881 17843 0 0.00 4.75
Chile 343592 2288 0.67 51745 9020 106 1.19 2.63
United Kingdom 300270 770 0.26 13858 45823 61 0.13 15.26
Iran 288839 2316 0.81 50961 15484 195 1.28 5.36
Pakistan 273113 1226 0.45 47830 5822 35 0.60 2.13
Spain 272421 0 0.00 21876 28432 0 0.00 10.44
Saudi Arabia 264973 2201 0.84 59044 2703 31 1.16 1.02
Italy 245864 274 0.11 4445 35102 5 0.01 14.28
Colombia 240795 7254 3.11 131002 8269 294 3.69 3.43
Turkey 225173 921 0.41 20563 5596 16 0.29 2.49
Bangladesh 221178 2520 1.15 61499 2874 38 1.34 1.30
France 217801 4 0.00 13579 30195 0 0.00 13.86
Germany 206278 655 0.32 9080 9124 4 0.04 4.42
Argentina 158334 4814 3.14 82958 2893 86 3.06 1.83
Canada 115470 355 0.31 8285 8929 6 0.07 7.73
Qatar 109036 398 0.37 9853 164 0 0.00 0.15
Iraq 107573 2862 2.73 49219 4284 72 1.71 3.98
Indonesia 97286 1868 1.96 35144 4714 49 1.05 4.85
Egypt 91583 511 0.56 17548 4558 40 0.89 4.98
China 86381 179 0.21 1524 4652 2 0.04 5.39
Kazakhstan 81720 1494 1.86 34549 585 0 0.00 0.72
Ecuador 80036 987 1.25 18501 5507 39 0.71 6.88
Sweden 78997 0 0.00 7578 5697 0 0.00 7.21
Philippines 78412 1968 2.57 36582 1897 18 0.96 2.42
Oman 74858 1067 1.45 29752 371 12 3.34 0.50
Bolivia 68281 1825 2.75 30210 2535 62 2.51 3.71
Belarus 67002 156 0.23 3732 530 6 1.15 0.79
Belgium 65727 528 0.81 3889 9821 4 0.04 14.94
Ukraine 65317 1144 1.78 16689 1610 19 1.19 2.46
Kuwait 63309 684 1.09 14006 429 4 0.94 0.68
Dominican Republic 60896 1819 3.08 24712 1055 19 1.83 1.73
Israel 60678 1203 2.02 31508 457 9 2.01 0.75
Panama 58864 871 1.50 21881 1275 25 2.00 2.17
United Arab Emirates 58562 313 0.54 7705 343 0 0.00 0.59
Netherlands 52984 147 0.28 2436 6159 1 0.02 11.62
Portugal 49955 263 0.53 6386 1716 4 0.23 3.44
Singapore 49888 513 1.04 5224 27 0 0.00 0.05
Guatemala 44492 1209 2.79 21991 1699 30 1.80 3.82
Romania 43678 1284 3.03 15096 2165 15 0.70 4.96
Poland 42622 584 1.39 6903 1664 9 0.54 3.90
Nigeria 39977 438 1.11 11810 856 11 1.30 2.14
Bahrain 38747 289 0.75 9890 137 1 0.74 0.35
Honduras 38438 879 2.34 15517 1098 37 3.49 2.86
Armenia 36996 383 1.05 9096 700 8 1.16 1.89
Afghanistan 36036 55 0.15 3364 1248 23 1.88 3.46
Switzerland 34302 148 0.43 2104 1977 0 0.00 5.76
Kyrgyzstan 32124 877 2.81 25030 1249 38 3.14 3.89
Ghana 31851 794 2.56 12463 161 0 0.00 0.51
Japan 29684 801 2.77 10223 996 2 0.20 3.36
Azerbaijan 29633 321 1.10 9832 408 8 2.00 1.38
Algeria 26764 605 2.31 11264 1146 10 0.88 4.28
Ireland 25869 24 0.09 360 1764 1 0.06 6.82
Serbia 22852 0 0.00 7023 518 0 0.00 2.27
Moldova 22828 345 1.53 5156 732 6 0.83 3.21
Austria 20338 124 0.61 2173 712 1 0.14 3.50
Uzbekistan 19952 592 3.06 10244 111 5 4.72 0.56
Morocco 19645 811 4.31 5823 305 6 2.01 1.55
Nepal 18483 109 0.59 2992 45 1 2.27 0.24
Cameroon 16708 0 0.00 4116 385 0 0.00 2.30
Kenya 16643 375 2.31 9066 278 4 1.46 1.67
Cote d’Ivoire 15494 241 1.58 5032 94 0 0.00 0.61
Czechia 15212 131 0.87 2772 369 0 0.00 2.43
Venezuela 14929 666 4.67 8179 138 4 2.99 0.92
Costa Rica 14600 931 6.81 9979 98 11 12.64 0.67
Australia 14403 453 3.25 5960 155 10 6.90 1.08
El Salvador 14221 429 3.11 6714 390 11 2.90 2.74
Korea, South 14150 58 0.41 1059 298 0 0.00 2.11
Denmark 13643 1 0.01 611 613 0 0.00 4.49
Ethiopia 13248 555 4.37 7402 209 9 4.50 1.58
Sudan 11385 83 0.73 1618 717 2 0.28 6.30
Bulgaria 10312 189 1.87 4635 338 1 0.30 3.28
West Bank and Gaza 10306 213 2.11 6471 75 5 7.14 0.73

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 446452 6267 1.42 193557 8408 71 0.85 1.88 11299.09 212.79 1 in 89
Florida 414511 12199 3.03 224459 5777 124 2.19 1.39 19299.57 268.98 1 in 52
New York 411200 750 0.18 14602 32608 12 0.04 7.93 21137.52 1676.20 1 in 47
Texas 390286 9922 2.61 198133 4990 200 4.18 1.28 13460.05 172.09 1 in 74
New Jersey 178858 513 0.29 5825 15776 11 0.07 8.82 20136.70 1776.14 1 in 50
Illinois 171122 1426 0.84 24510 7589 12 0.16 4.43 13504.14 598.89 1 in 74
Georgia 165188 3768 2.33 71869 3494 51 1.48 2.12 15558.20 329.08 1 in 64
Arizona 160041 3740 2.39 65474 3286 143 4.55 2.05 21016.84 431.52 1 in 48
Massachusetts 115268 283 0.25 5430 8510 12 0.14 7.38 16586.51 1224.55 1 in 60
North Carolina 111421 1693 1.54 39751 1811 22 1.23 1.63 10623.58 172.67 1 in 94
Pennsylvania 111115 823 0.75 17193 7124 8 0.11 6.41 8679.51 556.48 1 in 115
Louisiana 103734 0 0.00 40445 3715 0 0.00 3.58 22314.17 799.13 1 in 45
Tennessee 90796 1718 1.93 40656 964 26 2.77 1.06 13287.53 141.08 1 in 75
Michigan 85622 550 0.65 13041 6400 0 0.00 7.47 8573.47 640.84 1 in 117
Virginia 83609 1245 1.51 18500 2075 8 0.39 2.48 9795.42 243.10 1 in 102
Ohio 83184 1438 1.76 27001 3297 0 0.00 3.96 7116.37 282.06 1 in 141
Maryland 83054 1288 1.58 13713 3433 11 0.32 4.13 13737.74 567.84 1 in 73
South Carolina 80008 1401 1.78 36622 1465 80 5.78 1.83 15539.41 284.54 1 in 64
Alabama 78130 2125 2.80 35268 1456 18 1.25 1.86 15934.54 296.95 1 in 63
Indiana 61520 922 1.52 14088 2895 11 0.38 4.71 9138.15 430.02 1 in 109
Washington 51849 1025 2.02 16602 1494 -1 -0.07 2.88 6808.89 196.19 1 in 147
Mississippi 50981 1396 2.82 20307 1478 15 1.03 2.90 17129.85 496.61 1 in 58
Minnesota 50291 803 1.62 12667 1611 5 0.31 3.20 8917.43 285.66 1 in 112
Connecticut 48776 0 0.00 2059 4413 0 0.00 9.05 13680.81 1237.77 1 in 73
Wisconsin 47870 953 2.03 16815 891 13 1.48 1.86 8221.65 153.03 1 in 122
Colorado 43771 809 1.88 9922 1794 4 0.22 4.10 7600.80 311.53 1 in 132
Iowa 41886 452 1.09 10825 826 0 0.00 1.97 13275.78 261.80 1 in 75
Nevada 41816 931 2.28 20241 732 10 1.39 1.75 13575.94 237.65 1 in 74
Missouri 41034 1399 3.53 17451 1200 5 0.42 2.92 6685.86 195.52 1 in 150
Arkansas 37981 732 1.97 14772 399 5 1.27 1.05 12585.55 132.21 1 in 79
Utah 37623 661 1.79 13081 274 1 0.37 0.73 11735.34 85.47 1 in 85
Oklahoma 30081 965 3.31 14433 496 12 2.48 1.65 7602.03 125.35 1 in 132
Kentucky 26764 832 3.21 10388 696 5 0.72 2.60 5990.59 155.79 1 in 167
Kansas 25009 455 1.85 9098 329 -1 -0.30 1.32 8584.38 112.93 1 in 116
Nebraska 24395 221 0.91 4568 316 0 0.00 1.30 12611.09 163.36 1 in 79
New Mexico 18788 313 1.69 5725 607 6 1.00 3.23 8960.20 289.48 1 in 112
Rhode Island 18224 0 0.00 1233 1002 0 0.00 5.50 17202.82 945.85 1 in 58
Idaho 17265 0 0.00 9895 144 0 0.00 0.83 9634.14 80.35 1 in 104
Oregon 16104 0 0.00 6174 282 0 0.00 1.75 3818.16 66.86 1 in 262
Puerto Rico 14540 573 4.10 6753 201 10 5.24 1.38 4552.72 62.94 1 in 220
Delaware 14175 -27 -0.19 2179 579 1 0.17 4.08 14556.92 594.60 1 in 69
District of Columbia 11717 68 0.58 1270 581 0 0.00 4.96 16602.22 823.24 1 in 60
South Dakota 8305 105 1.28 1277 122 0 0.00 1.47 9387.80 137.91 1 in 107
New Hampshire 6415 40 0.63 543 409 2 0.49 6.38 4717.91 300.80 1 in 212
West Virginia 5775 122 2.16 2570 103 0 0.00 1.78 3231.41 57.63 1 in 309
North Dakota 5736 122 2.17 1957 99 0 0.00 1.73 7526.95 129.91 1 in 133
Maine 3790 33 0.88 393 119 1 0.85 3.14 2819.50 88.53 1 in 355
Montana 3259 221 7.27 2092 46 0 0.00 1.41 3049.28 43.04 1 in 328
Wyoming 2446 41 1.70 840 25 0 0.00 1.02 4226.28 43.20 1 in 237
Alaska 2339 90 4.00 1232 20 1 5.26 0.86 3197.34 27.34 1 in 313
Hawaii 1620 71 4.58 621 26 0 0.00 1.60 1144.17 18.36 1 in 874
Vermont 1396 11 0.79 158 56 0 0.00 4.01 2237.22 89.75 1 in 447

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 7047355 446452 6.34 2494324 193557 7.76 178358.86
2 Florida 3336377 414511 12.42 1189880 224459 18.86 155341.18
3 New York 5516311 411200 7.45 1345923 14602 1.08 283563.05
4 Texas 3306042 390286 11.81 1234233 198133 16.05 114017.64
5 New Jersey 1888157 178858 9.47 379609 5825 1.53 212577.87
6 Illinois 2471965 171122 6.92 736372 24510 3.33 195075.75
7 Georgia 1407840 165188 11.73 481481 71869 14.93 132597.15
8 Arizona 857609 160041 18.66 268101 65474 24.42 112622.59
9 Massachusetts 1110883 115268 10.38 225116 5430 2.41 159850.71
10 North Carolina 1579042 111421 7.06 560746 39751 7.09 150555.81
11 Pennsylvania 1123330 111115 9.89 308507 17193 5.57 87746.52
12 Louisiana 1199726 103734 8.65 415584 40445 9.73 258072.52
13 Tennessee 1332374 90796 6.81 453770 40656 8.96 194986.11
14 Michigan 1614646 85622 5.30 484492 13041 2.69 161677.09
15 Virginia 1010443 83609 8.27 311214 18500 5.94 118380.97
16 Ohio 1293822 83184 6.43 445452 27001 6.06 110686.19
17 Maryland 825326 83054 10.06 251984 13713 5.44 136515.00
18 South Carolina 638490 80008 12.53 217797 36622 16.81 124009.61
19 Alabama 641611 78130 12.18 199523 35268 17.68 130855.96
20 Indiana 690274 61520 8.91 177986 14088 7.92 102532.91
21 Washington 883982 51849 5.87 284007 16602 5.85 116085.94
22 Mississippi 421886 50981 12.08 111971 20307 18.14 141755.67
23 Minnesota 940696 50291 5.35 295524 12667 4.29 166800.95
24 Connecticut 713072 48776 6.84 213403 2059 0.96 200004.10
25 Wisconsin 860243 47870 5.56 246399 16815 6.82 147746.29
26 Colorado 479744 43771 9.12 133990 9922 7.41 83307.17
27 Iowa 446263 41886 9.39 117252 10825 9.23 141443.14
28 Nevada 430521 41816 9.71 129292 20241 15.66 139772.47
29 Missouri 619721 41034 6.62 207460 17451 8.41 100974.06
30 Arkansas 461464 37981 8.23 122571 14772 12.05 152912.78
31 Utah 500139 37623 7.52 133423 13081 9.80 156002.98
32 Oklahoma 565709 30081 5.32 201275 14433 7.17 142965.16
33 Kentucky 541583 26764 4.94 145936 10388 7.12 121222.61
34 Kansas 277967 25009 9.00 86406 9098 10.53 95412.65
35 Nebraska 252605 24395 9.66 65017 4568 7.03 130585.17
36 New Mexico 505177 18788 3.72 141803 5725 4.04 240924.27
37 Rhode Island 190028 18224 9.59 -60926 1233 -2.02 179379.83
38 Idaho 163440 17265 10.56 62373 9895 15.86 91202.05
39 Oregon 374010 16104 4.31 118984 6174 5.19 88675.51
41 Delaware 166922 14175 8.49 46229 2179 4.71 171419.36
42 District of Columbia 169009 11717 6.93 64455 1270 1.97 239474.66
43 South Dakota 105913 8305 7.84 22083 1277 5.78 119721.84
44 New Hampshire 152290 6415 4.21 28541 543 1.90 112001.74
45 West Virginia 256914 5775 2.25 75485 2570 3.40 143756.50
46 North Dakota 144260 5736 3.98 32332 1957 6.05 189302.18
47 Maine 153373 3790 2.47 47428 393 0.83 114098.82
48 Montana 151015 3259 2.16 52065 2092 4.02 141296.88
49 Wyoming 48269 2446 5.07 12970 840 6.48 83400.86
50 Alaska 205066 2339 1.14 82334 1232 1.50 280319.05
51 Hawaii 112790 1620 1.44 29314 621 2.12 79661.16
52 Vermont 88816 1396 1.57 19419 158 0.81 142335.84

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 375799 9431 2.57 213238 56.74 148601 13656 267 1.99 3.63
Tamil Nadu 213723 6986 3.38 156526 73.24 53703 3494 85 2.49 1.63
Delhi 130606 1075 0.83 114875 87.96 11904 3827 21 0.55 2.93
Andhra Pradesh 96298 7627 8.60 46301 48.08 48956 1041 56 5.69 1.08
Karnataka 96141 5199 5.72 35838 37.28 58416 1878 80 4.45 1.95
Uttar Pradesh 66988 3246 5.09 41641 62.16 23921 1426 39 2.81 2.13
West Bengal 58718 2341 4.15 37751 64.29 19595 1372 40 3.00 2.34
Gujarat 55822 1110 2.03 40467 72.49 13033 2322 21 0.91 4.16
Telangana 54059 1593 3.04 41332 76.46 12264 463 8 1.76 0.86
Bihar 38919 2605 7.17 26308 67.60 12361 249 17 7.33 0.64
Rajasthan 36430 1132 3.21 25954 71.24 9852 624 11 1.79 1.71
Haryana 31332 794 2.60 24384 77.82 6556 392 3 0.77 1.25
Assam 31087 0 0.00 23056 74.17 7949 79 2 2.60 0.25
Madhya Pradesh 27800 874 3.25 19132 68.82 7857 811 12 1.50 2.92
Odisha 25389 1376 5.73 16793 66.14 8422 174 11 6.75 0.69
Kerala 19026 927 5.12 9300 48.88 9656 62 2 3.33 0.33
Jammu and Kashmir 17920 615 3.55 9928 55.40 7680 312 7 2.30 1.74
Punjab 13218 534 4.21 8810 66.65 4102 306 15 5.15 2.32
Jharkhand 7892 51 0.65 3521 44.61 4288 83 0 0.00 1.05
Chhattisgarh 7489 307 4.27 4944 66.02 2502 43 4 10.26 0.57
Uttarakhand 5961 0 0.00 3495 58.63 2365 63 0 0.00 1.06
Goa 4861 175 3.73 3277 67.41 1549 35 2 6.06 0.72
Tripura 3882 0 0.00 2210 56.93 1643 11 0 0.00 0.28
Puducherry 2787 133 5.01 1645 59.02 1102 40 2 5.26 1.44
Manipur 2235 59 2.71 1521 68.05 714 0 0 NaN 0.00
Himachal Pradesh 2136 87 4.25 1178 55.15 930 13 1 8.33 0.61
Nagaland 1339 50 3.88 549 41.00 786 4 4 Inf 0.30
Ladakh 1276 0 0.00 1057 82.84 216 3 0 0.00 0.24
Arunachal Pradesh 1126 0 0.00 428 38.01 695 3 0 0.00 0.27
Dadra and Nagar Haveli and Daman and Diu 943 42 4.66 565 59.92 366 2 0 0.00 0.21
Chandigarh 887 35 4.11 572 64.49 302 13 0 0.00 1.47
Meghalaya 669 23 3.56 109 16.29 555 5 0 0.00 0.75
Sikkim 557 45 8.79 146 26.21 397 1 1 Inf 0.18
Mizoram 361 0 0.00 183 50.69 178 0 0 NaN 0.00
Andaman and Nicobar Islands 318 28 9.66 180 56.60 137 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1253500 95847 79 0.08 7.65 148 13 6775 16801 17.53
Piemonte 483764 31594 16 0.05 6.53 141 5 792 4125 13.06
Emilia-Romagna 609845 29461 49 0.17 4.83 78 4 1399 4284 14.54
Veneto 1170795 19790 31 0.16 1.69 30 1 705 2064 10.43
Toscana 407195 10415 10 0.10 2.56 13 0 343 1131 10.86
Liguria 179747 10147 3 0.03 5.65 27 0 200 1566 15.43
Lazio 402012 8535 19 0.22 2.12 186 9 928 858 10.05
Marche 161615 6818 2 0.03 4.22 3 1 129 987 14.48
P.A. Trento 147418 4959 2 0.04 3.36 2 0 88 405 8.17
Campania 322294 4901 21 0.43 1.52 28 2 341 434 8.86
Puglia 227533 4586 8 0.17 2.02 16 0 76 549 11.97
Friuli Venezia Giulia 239572 3373 5 0.15 1.41 8 2 103 345 10.23
Abruzzo 123996 3359 3 0.09 2.71 11 2 112 470 13.99
Sicilia 262154 3179 13 0.41 1.21 15 2 181 283 8.90
P.A. Bolzano 100311 2693 6 0.22 2.68 6 0 87 292 10.84
Umbria 116596 1465 0 0.00 1.26 7 0 17 80 5.46
Sardegna 102749 1388 3 0.22 1.35 6 0 19 134 9.65
Calabria 115719 1247 1 0.08 1.08 3 0 79 97 7.78
Valle d’Aosta 20776 1196 0 0.00 5.76 1 0 1 146 12.21
Molise 26749 463 3 0.65 1.73 0 0 21 23 4.97
Basilicata 45706 448 1 0.22 0.98 2 0 46 28 6.25

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 58414 171 0.29 5666 3 0.05 9.70 6841.91 663.65 1 in 146
Ontario 40457 116 0.29 2802 2 0.07 6.93 2749.96 190.46 1 in 364
Alberta 10086 0 0.00 178 0 0.00 1.76 2285.44 40.33 1 in 438
British Columbia 3419 27 0.80 191 1 0.53 5.59 668.96 37.37 1 in 1495
Saskatchewan 1136 37 3.37 16 0 0.00 1.41 961.35 13.54 1 in 1040
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Manitoba 388 4 1.04 7 0 0.00 1.80 281.67 5.08 1 in 3550
Newfoundland and Labrador 265 0 0.00 3 0 0.00 1.13 508.28 5.75 1 in 1967
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 2505 18 0.72
Guangdong 1672 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 799 7 0.88
Shanghai 741 7 0.94
Jiangsu 655 0 0.00
Sichuan 603 3 0.50
Chongqing 583 6 1.03
Fujian 365 1 0.27
Hebei 349 6 1.72
Shaanxi 323 3 0.93
Inner Mongolia 256 1 0.39
Guangxi 255 2 0.78
Xinjiang 213 3 1.41
Tianjin 204 3 1.47
Shanxi 201 0 0.00
Liaoning 189 2 1.06
Yunnan 189 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 155 2 1.29
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 12769.01 447.62 1 in 78
Brazil 11440.58 413.04 1 in 87
India 1034.83 23.94 1 in 966
Russia 5573.23 91.16 1 in 179
South Africa 7655.15 117.33 1 in 131
Mexico 2980.15 330.07 1 in 336
Peru 11686.70 554.65 1 in 86
Chile 19035.57 499.72 1 in 53
United Kingdom 4519.42 689.69 1 in 221
Iran 3558.88 190.78 1 in 281
Pakistan 1386.36 29.55 1 in 721
Spain 5838.43 609.34 1 in 171
Saudi Arabia 8044.11 82.06 1 in 124
Italy 4065.21 580.39 1 in 246
Colombia 4907.17 168.51 1 in 204
Turkey 2786.45 69.25 1 in 359
Bangladesh NA NA 1 in NA
France 3251.25 450.74 1 in 308
Germany 2491.58 110.21 1 in 401
Argentina 3576.55 65.35 1 in 280

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 223532 23476 10.50
Los Angeles California 172325 4351 2.52
Maricopa Arizona 107291 1793 1.67
Cook Illinois 101955 4829 4.74
Miami-Dade Florida 101854 1379 1.35
Harris Texas 64108 637 0.99
Broward Florida 48187 580 1.20
Dallas Texas 46013 604 1.31
Nassau New York 42915 2193 5.11
Suffolk New York 42822 1996 4.66
Clark Nevada 35786 601 1.68
Westchester New York 35738 1443 4.04
Bexar Texas 35690 322 0.90
Orange California 33953 562 1.66
Riverside California 33467 637 1.90
Palm Beach Florida 29707 752 2.53
Philadelphia Pennsylvania 29303 1676 5.72
San Bernardino California 26796 372 1.39
Hillsborough Florida 26626 280 1.05
Orange Florida 26559 173 0.65
San Diego California 26098 524 2.01
Wayne Michigan 25877 2782 10.75
Middlesex Massachusetts 25250 1955 7.74
Tarrant Texas 25146 344 1.37
Prince George’s Maryland 21432 729 3.40
Suffolk Massachusetts 20827 1046 5.02
Bergen New Jersey 20192 2044 10.12
Hudson New Jersey 19329 1498 7.75
Duval Florida 19288 138 0.72
Essex New Jersey 19263 2101 10.91
Travis Texas 19177 241 1.26
Mecklenburg North Carolina 19041 187 0.98
Salt Lake Utah 17966 156 0.87
Shelby Tennessee 17944 265 1.48
Milwaukee Wisconsin 17861 427 2.39
Middlesex New Jersey 17514 1399 7.99
Davidson Tennessee 17493 186 1.06
Fairfield Connecticut 17421 1402 8.05
Passaic New Jersey 17274 1241 7.18
Montgomery Maryland 16922 782 4.62
Essex Massachusetts 16915 1162 6.87
Union New Jersey 16335 1345 8.23
Hennepin Minnesota 16067 806 5.02
Fulton Georgia 15649 372 2.38
Franklin Ohio 15548 487 3.13
Fairfax Virginia 15265 515 3.37
Hidalgo Texas 15153 456 3.01
Gwinnett Georgia 15134 216 1.43
Pinellas Florida 14985 372 2.48
Pima Arizona 14800 417 2.82
Lee Florida 14292 258 1.81
King Washington 14249 644 4.52
Kern California 14192 123 0.87
Providence Rhode Island 14033 0 0.00
Out of GA Georgia 13926 74 0.53
Rockland New York 13837 673 4.86
Oakland Michigan 13823 1127 8.15
Marion Indiana 13549 712 5.26
Jefferson Louisiana 13128 507 3.86
Worcester Massachusetts 13059 978 7.49
El Paso Texas 12971 221 1.70
New Haven Connecticut 12884 1095 8.50
Fresno California 12564 112 0.89
Hartford Connecticut 12340 1408 11.41
District of Columbia District of Columbia 11717 581 4.96
Cuyahoga Ohio 11584 449 3.88
Lake Illinois 11366 439 3.86
Polk Florida 11197 216 1.93
DeKalb Georgia 11025 206 1.87
Orange New York 10994 489 4.45
Baltimore Maryland 10793 524 4.85
DuPage Illinois 10771 507 4.71
St. Louis Missouri 10687 628 5.88
Charleston South Carolina 10503 132 1.26
Nueces Texas 10351 137 1.32
Alameda California 10330 178 1.72
Baltimore City Maryland 10210 397 3.89
Ocean New Jersey 10171 1011 9.94
Yuma Arizona 10138 220 2.17
San Joaquin California 10126 110 1.09
Jefferson Alabama 10095 200 1.98
Cobb Georgia 10009 287 2.87
Norfolk Massachusetts 9934 976 9.82
Monmouth New Jersey 9822 854 8.69
Wake North Carolina 9819 105 1.07
Orleans Louisiana 9752 548 5.62
Yakima Washington 9557 194 2.03
Douglas Nebraska 9465 120 1.27
Montgomery Pennsylvania 9444 844 8.94
East Baton Rouge Louisiana 9393 306 3.26
Greenville South Carolina 9266 155 1.67
Denver Colorado 9101 405 4.45
Imperial California 9067 181 2.00
Polk Iowa 8985 191 2.13
Plymouth Massachusetts 8967 702 7.83
Bristol Massachusetts 8843 616 6.97
Santa Clara California 8833 184 2.08
Macomb Michigan 8779 936 10.66
Collier Florida 8725 117 1.34
Kane Illinois 8665 293 3.38

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc